Triple

T2871986
Position Surface form Disambiguated ID Type / Status
Subject Diekirch District E63583 entity
Predicate capital P234 FINISHED
Object Diekirch E194075 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Diekirch | Statement: [Diekirch District, capital, Diekirch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diekirch
Context triple: [Diekirch District, capital, Diekirch]
  • A. Diekirch chosen
    Diekirch is a town in northern Luxembourg known for its role in World War II, particularly during the country's liberation, and for its national military museum.
  • B. Wissembourg
    Wissembourg is a historic town in northeastern France’s Alsace region, known for its well-preserved medieval architecture and proximity to the German border.
  • C. Neunkirchen
    Neunkirchen is a town in southwestern Germany known as one of the major urban centers and former industrial hubs of the state of Saarland.
  • D. Dudelange
    Dudelange is a town in southern Luxembourg known as one of the country’s larger industrial and residential centers near the French border.
  • E. Verviers
    Verviers is a city in eastern Belgium known historically for its textile industry and as a regional center in the province of Liège.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfe46a1c819084399a191f0dfe9c completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b261cda3ac8190b8770e554a66f560 completed March 12, 2026, 6:48 a.m.
Created at: March 6, 2026, 10:02 p.m.